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Papers
Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset
ACL 2024
Exploring Reversal Mathematical Reasoning Ability for Large Language Models
ACL 2024
Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes
NAACL 2024
Exploring Self-supervised Logic-enhanced Training for Large Language Models
NAACL 2024
Exploring Spatial Schema Intuitions in Large Language and Vision Models
ACL 2024
Exploring the Best Practices of Query Expansion with Large Language Models
EMNLP 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
EMNLP 2024
Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models
NAACL 2024
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
NAACL 2024
Exploring the limits of decoder-only models trained on public speech recognition corpora
Interspeech 2024
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions
EMNLP 2024
Exploring the LLM Journey from Cognition to Expression with Linear Representations
ICML 2024
Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
EACL 2024
Exploring the Potential of Large Language Models in Computational Argumentation
ACL 2024
Exploring the Potential of Large Language Models (LLMs) for Low-resource Languages: A Study on Named-Entity Recognition (NER) and Part-Of-Speech (POS) Tagging for Nepali Language
COLING 2024
Exploring the Relationship between In-Context Learning and Instruction Tuning
EMNLP 2024
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
NeurIPS 2024
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
EMNLP 2024
Exploring the Traditional NMT Model and Large Language Model for Chat Translation
EMNLP 2024
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
CVPR 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
ICML 2024
Extending Context Window of Large Language Models from a Distributional Perspective
EMNLP 2024
Extending Context Window of Large Language Models via Semantic Compression
ACL 2024
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
EMNLP 2024
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
ACL 2024